Publication:
Preliminary estimation of temporal and spatiotemporal dynamic measures of COVID-19 transmission in Thailand

dc.contributor.authorChawarat Rotejanapraserten_US
dc.contributor.authorSaranath Lawpoolsrien_US
dc.contributor.authorWirichada Pan-Ngumen_US
dc.contributor.authorRichard J. Maudeen_US
dc.contributor.otherHarvard T.H. Chan School of Public Healthen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherThe Open Universityen_US
dc.contributor.otherNuffield Department of Medicineen_US
dc.date.accessioned2020-10-05T03:51:55Z
dc.date.available2020-10-05T03:51:55Z
dc.date.issued2020-01-01en_US
dc.description.abstractBACKGROUND: As a new emerging infectious disease pandemic, there is an urgent need to understand the dynamics of COVID-19 in each country to inform planning of emergency measures to contain its spread. It is essential that appropriate disease control activities are planned and implemented in a timely manner. Thailand was one of the first countries outside China to be affected with subsequent importation and domestic spread in most provinces in the country. METHOD: A key ingredient to guide planning and implementation of public health measures is a metric of transmissibility which represents the infectiousness of a disease. Ongoing policies can utilize this information to plan appropriately with updated estimates of disease transmissibility. Therefore we present descriptive analyses and preliminary statistical estimation of reproduction numbers over time and space to facilitate disease control activities in Thailand. RESULTS: The estimated basic reproduction number for COVID-19 during the study ranged from 2.23-5.90, with a mean of 3.75. We also tracked disease dynamics over time using temporal and spatiotemporal reproduction numbers. The results suggest that the outbreak was under control since the middle of April. After the boxing stadium and entertainment venues, the numbers of new cases had increased and spread across the country. DISCUSSION: Although various scenarios about assumptions were explored in this study, the real situation was difficult to determine given the limited data. More thorough mathematical modelling would be helpful to improve the estimation of transmissibility metrics for emergency preparedness as more epidemiological and clinical information about this new infection becomes available. However, the results can be used to guide interventions directly and to help parameterize models to predict the impact of these interventions.en_US
dc.identifier.citationPloS one. Vol.15, No.9 (2020), e0239645en_US
dc.identifier.doi10.1371/journal.pone.0239645en_US
dc.identifier.issn19326203en_US
dc.identifier.other2-s2.0-85091618718en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/58928
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85091618718&origin=inwarden_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.titlePreliminary estimation of temporal and spatiotemporal dynamic measures of COVID-19 transmission in Thailanden_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85091618718&origin=inwarden_US

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